Computational Modeling of Metallurgical Furnaces

Metallurgical Furnaces

Modeling of Three Phase Electric Arc Furnaces

Abstract. In this paper are study the modeling of a three phase electric arc furnace installation. It is well know that the electric arc is a nonlinear element. Thus, for modeling his behavior, the authors are using a model which parameters like of a real electric arc. For simulation it was use the PSCAD EMTDC program. The simulations results are comparing with the measurements made of a 100t e...

Modeling the Electromagnetic Pollution of the Electric Arc Furnaces

The electric arc furnace is a three-phase load representing one of the most important generator of harmonic currents, reactive power and unbalanced conditions in electrical power systems. This paper aims to achieve a study concerning the power quality of the energy at 3-phase electric arc furnaces. There are analyzed the main qualitative indicators of the electric power: power factor, reactive ...

B. Panic Physical and Mathematical Modeling of Phenomena Proceeding with Gas – Powder Two Phase Flow through Moving Packed Bed in Metallurgical Shaft Furnaces

A lot of metallurgical processes take places in shaft furnaces, where reacting gas carrying powders flows up in packed bed of descending metallurgical materials. Gas + powder two phase flow in fixed packed bed has been investigated by author for many years 1 . At present author undertakes the investigations with moving bed. Physical model with glass bed and glass powders was constructed. The ex...

Computational modeling of dynamic decision making using connectionist networks

In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...